Enhanced Photoluminescence of Europium-Doped TiO₂ Nanoparticles Using a Single-Source Precursor Strategy by Violaine Mendez, Marlène Fabre, Thibaut Cornier, Françoise Bosselet, Stéphane Loridant, Sarah Asaad, Stéphane Daniele

“…TiO₂:Eu³⁺ nanoparticles with varying europium concentrations were successfully synthesized via a one-pot sol–gel approach using a molecular heterometallic single-source precursor (SSP) Eu-Ti. For comparison, nanomaterials with similar europium levels were also produced by impregnating europium salts onto the same TiO₂ substrate. …”
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Comparative analysis of geothermal and reservoir numerical simulation methods by GAI Changcheng, LI Hongda, REN Lu, CAO Wei, HAO Jie

“…By comparing the foundational mathematical models, numerical methods, and case studies of geothermal and reservoir simulations, this study highlights the similarities and differences in their application to the development of these two energy sources. …”
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Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems by Lingaraj K, Rashmi Laxmikant Malghan, KarthiK Rao M C, Lalit Garg

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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…The study compared measured and predicted vibration levels to assess the accuracy of the FTA’s detailed and general prediction methods. Results indicate that detailed assessments tend to overestimate vibration levels, while an optimized general vibration assessment curve offers a more precise estimate. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system by Xinming Wang, Huayang Liang, Xiaobo Jia, Shihui Li, Shengyang Kang, Yan Gao

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Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…However, the accounting process, characteristics, and the scope of application of different methods lack systematic summary. The process of carbon emission accounting of coal enterprises is sorted out by reviewing relevant literature in China and internationally: determining the target, determining the accounting boundary, identifying the emission source, establishing the accounting model, collecting data, calculating carbon emission, and evaluating the accounting accuracy. …”
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Energy efficiency and productivity improvements analysis in a Brazilian steel plant: simulation model using JaamSim open source software by Rodrigo de Paula Oliveira, Wilson Trigueiro de Sousa Júnior, Roberta Alves, Alexandre Ferreira de Pinho, Helio Tavares de Sá Neto

“…Abstract The Brazilian steel sector, inserted in a scenario of crisis and competitiveness, is going through a moment when optimization procedures in the production process are well regarded. …”
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Study on Optimization of Geothermal Tail Water Reinjection Process in Moderately Deep Sandstone by Hongyan Li, Pengtao Wang, Bin Liu, Xianyu Zhang, Shiyan Guo, Hui Xiao, Hai Huang

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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…Systematic experiments validate CIBA’s effectiveness in deriving importance scores that bridge learning tasks and communication optimization. Comparisons of feature perturbation schemes confirm the necessity of importance-aware resource allocation, with the proposed allocation strategy outperforming conventional methods in task performance metrics. …”
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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Optimizing Solar Panel Efficiency: Integration of Dual Axis Solar Tracking and Reflectors by Alvin Rinaldi Wiharja, Levin Halim, Faisal Wahab

“…The dual-axis solar tracking method, using two linear actuators and optimized by fuzzy logic, efficiently positions solar panels for maximum sunlight exposure. …”
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Modeling of chronic epilepsy in animals through chemical methods by E. V. Egorova, D. V. Dmitrenko, A. A. Usoltseva, A. M. Iptyshev, N. A. Shnayder, R. F. Nasyrova

“…In 20–40% of cases, according to various sources, it is not possible with standard treatment methods to achieve control over attacks, which significantly impairs the patient’s quality of life, increases economic costs, and poses a difficult task for the doctor to select the optimal treatment to reduce the frequency of attacks. …”
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COMPARATIVE CHARACTERISTICS OF TREATMENT METHODS FOR PATIENTS WITH ODONTOGENIC PHLEGMONS by A.V. Kiptiliy

“…The purpose of the study was to search and analyze scientific sources in Ukraine and the world, regarding the latest methods of treatment of odontogenic phlegmon, features of their course and complications. …”
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Mapping cropland in Yunnan Province during 1990–2020 using multi-source remote sensing data with the Google Earth Engine Platform by Meiqi Wang, Liang Huang, Bo-Hui Tang, You Yu, Zixuan Zhang, Qiang Wu, Jiapei Cheng

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An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage by Andrii Cheilytko, Spiros Alexopoulos, Andriy Pozhuyev, Oliver Kaufhold

“…This paper presents a mathematical optimization model that focuses on the capacity of concentrated solar power plants where thermal storage plays a key role in the energy source. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…In addition, standard methods for improving code embedding are essential to develop more effective embedding-based systems, similar to augmentation techniques in the image processing domain. …”
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Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios by M. G. Dorrer, V. V. Kurokhtin

“…The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. …”
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A Time-Segmented SAI-Krylov Subspace Approach for Large-Scale Transient Electromagnetic Forward Modeling by Ya’nan Fan, Kailiang Lu, Juanjuan Li, Tianchi Fu

“…The numerical results show that this parameter optimization strategy reduces the iteration count of the PCG method, improving efficiency by a factor of 5 compared to conventional iterative methods. …”
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